Our aim was to design and validate a model of CT findings that predict suboptimal cytoreduction in primary surgery (PS) for Stage III-IV epithelial ovarian cancer (EOC). We performed a retrospective review of preoperative CT scans of patients undergoing PS for EOC in a cancer centre in London, UK, between November 1995 and October 2003 (n = 91). Radiological features predictive of suboptimal cytoreduction were identified and the model tested in a second cohort undergoing PS in Manchester, June 2005 - March 2007 (n = 35). In the London cohort, liver surface disease and infrarenal para-aortic lymph node involvement predicted suboptimal cytoreduction with 80% accuracy. Accuracy of these predictors dropped to 63% when applied to the Manchester cohort. We concluded that CT prediction of suboptimal cytoreduction is unreliable and may not be reproducible. In the absence of favourable data from larger, prospective trials, it should not be used to guide management.
Purpose To assess whether individual reader performance with digital breast tomosynthesis (DBT) and two-dimensional (2D) mammography varies with number of years of experience or volume of 2D mammograms read. Materials and Methods After written informed consent was obtained, 8869 women (age range, 29-85 years; mean age, 56 years) were recruited into the TOMMY trial (A Comparison of Tomosynthesis with Digital Mammography in the UK National Health Service Breast Screening Program), an ethically approved, multicenter, multireader, retrospective reading study, between July 2011 and March 2013. Each case was read prospectively for clinical assessment and to establish ground truth. A retrospective reading data set of 7060 cases was created and randomly allocated for independent blinded review of (a) 2D mammograms, (b) DBT images and 2D mammograms, and (c) synthetic 2D mammograms and DBT images, without access to previous examinations. Readers (19 radiologists, three advanced practitioner radiographers, and two breast clinicians) who had 3-25 (median, 10) years of experience in the U.K. National Health Service Breast Screening Program and read 5000-13 000 (median, 8000) cases per annum were included in this study. Specificity was analyzed according to reader type and years and volume of experience, and then both specificity and sensitivity were analyzed by matched inference. The median duration of experience (10 years) was used as the cutoff point for comparison of reader performance. Results Specificity improved with the addition of DBT for all readers. This was significant for all staff groups (56% vs 68% and 49% vs 67% [P < .0001] for radiologists and advanced practitioner radiographers, respectively; 46% vs 55% [P = .02] for breast clinicians). Sensitivity was improved for 19 of 24 (79%) readers and was significantly higher for those with less than 10 years of experience (91% vs 86%; P = .03) and those with total mammographic experience of fewer than 80 000 cases (88% vs 86%; P = .03). Conclusion The addition of DBT to conventional 2D screening mammography improved specificity for all readers, but the gain in sensitivity was greater for readers with less than 10 years of experience.
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